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Data Center Area Security Manager Ii Compliance Safety Risk Management jobs at Google in United States, Mountain View

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United States
State
Mountain View
1,877 jobs found
10.11.2025
G

Google Software Engineering Manager II Google Cloud United States, California, Mountain View

Limitless High-tech career opportunities - Expoint
Bachelor's degree or equivalent practical experience. 7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 7 years of...
Description:
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
  • 7 years of experience managing projects and defining project scope, goals, and deliverables.

Preferred qualifications:
  • Master's degree or PhD in a relevant quantitative or engineering field.
  • Experience with Large Language Models (LLMs), LLM Operations, prompt engineering, pre-training, and fine-tuning.
  • Ability to think strategically and identify emerging threats and vulnerabilities.
  • Ability to work separately and as part of a team.
  • Ability to influence cross-functionally at various levels and excellent communication and presentation skills.
  • Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
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09.11.2025
G

Google Data Scientist Research PhD Early Career Start United States, California, Mountain View

Limitless High-tech career opportunities - Expoint
PhD in a quantitative discipline (e.g., Statistics, Biostatistics, Computer Science, Applied Mathematics, Operations Research, Economics ) or another discipline involving experimental design and quantitative analysis of data. 1 year of...
Description:
Note: By applying to this position you will have an opportunity to share your preferred working location from the following:.
Minimum qualifications:
  • PhD in a quantitative discipline (e.g., Statistics, Biostatistics, Computer Science, Applied Mathematics, Operations Research, Economics ) or another discipline involving experimental design and quantitative analysis of data.
  • 1 year of experience using analytics to solve product or business problems, coding (e.g., Python, R, SQL), querying databases or statistical analysis, or a relevant PhD degree.
  • Experience in one or more of the following areas: Coding (e.g., C/C++, Python, Java), Databases and querying (e.g., SQL, MySQL, MapReduce, Hadoop), Statistical analysis (e.g., R, Stata, SPSS, SAS), or Hypothesis testing.

Preferred qualifications:
  • Experience with causal inference methods (e.g., split-testing, instrumental variables, difference-in-difference methods, fixed effects regression, panel data models, regression discontinuity, matching estimators).
  • Experience with statistical programming languages, controlled experimentation, causal inference, and statistical data analysis (e.g., linear models, multivariate analysis, stochastic models, sampling methods, etc.)
  • Applied experience with machine learning on large datasets
  • Ability to start full-time role in 2026.
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These jobs might be a good fit

Limitless High-tech career opportunities - Expoint
Bachelor's degree or equivalent practical experience. 7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 7 years of...
Description:
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 7 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data.
  • 7 years of experience managing projects and defining project scope, goals, and deliverables.

Preferred qualifications:
  • Master's degree or PhD in a relevant quantitative or engineering field.
  • Experience with Large Language Models (LLMs), LLM Operations, prompt engineering, pre-training, and fine-tuning.
  • Ability to think strategically and identify emerging threats and vulnerabilities.
  • Ability to work separately and as part of a team.
  • Ability to influence cross-functionally at various levels and excellent communication and presentation skills.
  • Excellent problem-solving and critical thinking skills with attention to detail in an ever-changing environment.
Show more
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